ISSN Print: 2381-1013  ISSN Online: 2381-1021
American Journal of Agricultural Science  
Manuscript Information
 
 
Factors That Limit Delivery and Adoption of Artificial Insemination in Rwanda: Case Study in Rukomo Sector of Nyagatare District, Rwanda
American Journal of Agricultural Science
Vol.5 , No. 2, Publication Date: Mar. 10, 2018, Page: 28-34
887 Views Since March 10, 2018, 1562 Downloads Since Mar. 10, 2018
 
 
Authors
 
[1]    

Mazimpaka Eugene, Department of Veterinary Medicine, University of Rwanda, Kigali, Rwanda.

[2]    

Bukenya Mugabi Edmund, Department of Surgery and Reproduction, Makerere University, Kampala, Uganda.

[3]    

Mbuza Baguma Francis, Department of Surgery and Reproduction, Makerere University, Kampala, Uganda.

 
Abstract
 

Artificial insemination (AI) is an assisted reproduction technology (ART) used worldwide for rapid genetic improvement of livestock as it is economically beneficial and ensures freedom from venereal diseases. AI was introduced in Rwanda in 1987 but its success rate is still below 53%. This study was done in Rukomo Sector of Nyagatare in 2011 to determine the factors that limit delivery and adoption of AI. Cross-sectional data were collected from a total of 70 respondents who had previously been exposed to AI technology. The adoption level of farmers using AI technology was determined by calculating the percentage of exposed farmers that was using solely AI. Quantitative data were analyzed using SPSS version 16. Adoption rate of AI was 15.71%, and it was strongly correlated with education level (r=0.743); farmer’s distance to bull (r=0.769); heat detection (r=0.707); ways of communication between AI technicians and farmers (r=0.823) and veterinary extension visits (r=0.778). Farmers identified availability of AI technicians (50%), time taken by inseminators to respond to the farmer (32.86%) and communication methods (17.14%) were major factors limiting delivery of AI service. Inseminators and veterinary officers identified lack of material (42.7%), hormones for synchronization (31.1%) and transports (15.4%) as the main factors that affected delivery of AI services. It was concluded that socio-economic and technical factors influence delivery and adoption of AI technology. Policies that facilitate farmers to overcome socio-economic and technical factors are crucial of wider adoption of AI technology.


Keywords
 

Artificial Insemination, Delivery, Nyagatare District, Rwanda


Reference
 
[01]    

Banda, L. J., Kamwanja, L. A., Chagunda, M. G. G., Ashworth, C. J., & Roberts, D. J. (2012). Status of dairy cow management and fertility in smallholder farms in Malawi. Tropical animal health and production, 44 (4), 715-727.

[02]    

Black, N. (2006). Artificial insemination of cattle. Anim. Reprod. Sci. Online, 10, 06-15.

[03]    

Cavestany, D., & Galina, C. S. (2001). Evaluation of an artificial insemination programme in a seasonal breeding dairy system through milk progesterone. Reproduction in domestic animals, 36 (2), 79-84.

[04]    

Chatikobo, P. (2009). Artificial insemination in Rwanda: smallholder development. Dairy Mail Africa: Publication for the Dairy Industry in Africa, 4 (3), 18-23.

[05]    

Chebel, R. C., Santos, J. E., Reynolds, J. P., Cerri, R. L., Juchem, S. O., & Overton, M. (2004). Factors affecting conception rate after artificial insemination and pregnancy loss in lactating dairy cows. Animal Reproduction Science, 84 (3), 239-255.

[06]    

CIMMYT, 1993. The adoption of Agricultural technology. A guide for survey Design. Mexico, USA. Economics Programs.

[07]    

Das S. K., 1997. Socio - economic factors affecting the adoption of livestock technologies by farmers in West Bengal. Indian Veterinary Journal 74, 233-336.

[08]    

Duncanson G. R., 1977. Animal breeding: selected articles from the World Affirnal Review. http://www.fao.org/documents/en/detail/67107

[09]    

EADD May, 2011. Constraints on the use of Artificial insemination service and possible solutions. Project Baseline Survey Brief.

[10]    

Ghosh R. K, Goswami A., Mazundar A. K., 2005. Adoption behaviour of the dairy farmers in relation to artificial insemination in co-operative farming system.

[11]    

Hasan C., Yavuz C., Murat T., 2008. Socio-economic factors affecting the level of adoption of innovations in dairy cattle enterprises in Ankara, Turkey.

[12]    

International Livestock Research Institute (ILRI), 2010. Effective delivery of input services (AI, feed and veterinary services) to livestock development in Ethiopia.

[13]    

Kaaya H., Bashaasha B., Mutetikka D., 2005. Determinants of utilization of artificial insemination services among Uganda dairy farmers.

[14]    

Kaura M. S., 1967. A scale to measures farmer's attitude towards Artificial Insemination; M.Sc. Thesis submitted to Punjab Agriculture University, Hissar.

[15]    

Madan M. L., 2005. Animal biotechnology: applications and economic implications in developing countries. Livestock production systems, 842-sector 6, Urban Estate karnal, Haryana, 132001, India.

[16]    

Makoni, N., Hamudikuwanda, H., & Chatikobo, P. (2015). Artificial Insemination and Vaccine Production Value Chains in Kenya.

[17]    

Mutambayire, 2002. Contribution a l’étude de production de semence bovine au Rwanda. Mémoire Butare, Rwanda.

[18]    

Nyagatare district description, 2013. updated information on location of Rukomo sector. consulted on line 16.8.2013: http://en.wikipedia.org/wiki/Nyagatare_District

[19]    

Philipsson, J. (2000). Sustainability of dairy cattle breeding systems utilising artificial insemination in less developed countries-examples of problems and prospects.

[20]    

Pursley, J. R., Silcox, R. W., & Wiltbank, M. C. (1998). Effect of time of artificial insemination on pregnancy rates, calving rates, pregnancy loss, and gender ratio after synchronization of ovulation in lactating dairy cows. Journal of dairy science, 81 (8), 2139-2144.

[21]    

Sezgin A., Tugba E. K, Murat K., Hediye K., 2011. Factors affecting the adoption of agricultural innovations in Erzurum Province, TURKEY.

[22]    

Singh J. N., Sinha B. P., Verma A. K., 1979. Factors affecting adoption of AI in cows. Indian journal of extension education, 15 (1&2), 55-62.

[23]    

Special Package for Social Scientist version 16.0.0, (SPSS), 2007). Polar engineering and consulting.

[24]    

Tambi, N. E., Mukhebi, W. A., Maina, W. O., Solomon H. M., 1998. Probit analysis of livestock producers’ demand for private veterinary services in high potential agricultural areas of Kenya.

[25]    

Thibier, M., & Wagner, H. G. (2002). World statistics for artificial insemination in cattle. Livestock Production Science, 74 (2), 203-212.

[26]    

Verma, O. P., Kumar, R., Kumar, A., & Chand, S. (2012). Assisted Reproductive Techniques in Farm Animal-From Artificial Insemination to Nanobiotechnology. Veterinary World, 5 (5).

[27]    

Wyne H., Cranfield J., 1995. Ontario Beef Producers Attitudes about Artificial insemination. Canadian Journal of Agricultural Economics.





 
  Join Us
 
  Join as Reviewer
 
  Join Editorial Board
 
share:
 
 
Submission
 
 
Membership